Maastricht University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.
2024 · 1.417 Zit.
Machine Learning methods for Quantitative Radiomic Biomarkers
Chintan Parmar, Patrick Großmann, Johan Bussink et al.
2015 · 994 Zit.
Transparency and reproducibility in artificial intelligence
Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.
2020 · 467 Zit.
Transparency of deep neural networks for medical image analysis: A review of interpretability methods
Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee et al.
2021 · 435 Zit.
Artificial intelligence for clinical oncology
Benjamin H. Kann, Ahmed Hosny, Hugo J.W.L. Aerts
2021 · 335 Zit.
Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
Abdalla Ibrahim, Sergey Primakov, Manon Beuque et al.
2020 · 254 Zit.
The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review
Golnar Karimian, Elena Petelos, Silvia Evers
2022 · 237 Zit.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.
2025 · 218 Zit.
Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods
Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff et al.
2021 · 179 Zit.
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.
2025 · 171 Zit.
Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial
F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.
2022 · 160 Zit.
Deep learning in fracture detection: a narrative review
Pishtiwan H. S. Kalmet, Sebastian Sanduleanu, Sergey Primakov et al.
2020 · 157 Zit.
Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care
Fadila Zerka, Samir Barakat, Seán Walsh et al.
2020 · 131 Zit.
Artificial intelligence and the doctor–patient relationship expanding the paradigm of shared decision making
Giorgia Lorenzini, Laura Arbelaez Ossa, David Shaw et al.
2023 · 130 Zit.
Where medical education meets artificial intelligence: ‘Does technology care?’
Anneke G. van der Niet, Alan Bleakley
2020 · 115 Zit.